Results 1 to 10 of about 18,405 (198)

EKF Based Mobile Robot Localization [PDF]

open access: yes2012 Third International Conference on Emerging Security Technologies, 2012
Localization plays a significant role in the autonomous navigation of a mobile robot. This paper investigates mobile robot localization based on Extended Kalman Filter(EKF) algorithm and a feature based map. Corner angles in the environment are detected as the features, and the detailed processes of feature extraction are described.
Ling Chen   +2 more
openaire   +3 more sources

Convergence and Consistency Analysis for a 3-D Invariant-EKF SLAM

open access: yesIEEE Robotics and Automation Letters, 2017
© 2016 IEEE. In this letter, we investigate the convergence and consistency properties of an invariant-extended Kalman filter (RI-EKF) based simultaneous localization and mapping (SLAM) algorithm. Basic convergence properties of this algorithm are proven.
Shoudong Huang, Gamini Dissanayake
exaly   +2 more sources

Fuzzy-EKF Controller for Intelligent Wheelchair Navigation

open access: yesJournal of Intelligent Systems, 2016
The electric wheelchair gives more autonomy and facilitates movement for handicapped persons in the home or in a hospital. Among the problems faced by these persons are collision with obstacles, the doorway, the navigation in a hallway, and reaching the ...
Njah Malek, Jallouli Mohamed
doaj   +3 more sources

An Integration of Deep Neural Network-Based Extended Kalman Filter (DNN-EKF) Method in Ultra-Wideband (UWB) Localization for Distance Loss Optimization

open access: yesSensors
This paper examines the critical role of indoor positioning for robots, with a particular focus on small and confined spaces such as homes, warehouses, and similar environments.
Eang Chanthol
exaly   +3 more sources

Automatic Eye-in-Hand Calibration using EKF

open access: yesCoRR, 2022
In this paper, a self-calibration approach for eye-in-hand robots using SLAM is considered. The goal is to calibrate the positioning of a robotic arm, with a camera mounted on the end-effector automatically using a SLAM-based method like Extended Kalman Filter (EKF).
Aditya Ramakrishnan   +4 more
openaire   +3 more sources

Sensorless FOC Strategy for Current Sensor Faults in Three-Phase Induction ‎Motor Drives [PDF]

open access: yesJournal of Operation and Automation in Power Engineering, 2023
Current sensors are required in Field-Oriented Control (FOC) strategies of Three-Phase Induction Motor (TPIM) drives. Nevertheless, the current sensors are subject to different electrical/mechanical faults which reduce the safety and dependability of the
A. Gholipour   +3 more
doaj   +1 more source

Covariance-tuned EKF resampling based particle filter

open access: yesJournal of Applied Science and Engineering, 2022
Signal processing in complex environments is a challenging issue in many applications. Recent studies show that variants of particle filters achieve significant performance in positioning and tracking applications under complex environments.
N. Ashok Kumar   +2 more
doaj   +1 more source

EKF-based output-voltage regulation of 3rd-order LCC resonant converters subject to load variations

open access: yes, 2010
The extended Kalman filter (EKF) is proposed as a candidate methodology to eliminate the requirement for isolated feedback sensors (components that contribute to complexity, component count and cost), for the closed-loop regulation of 3rd-order LCC ...
A. Gilbert (17921048)   +4 more
core   +5 more sources

Modified EKF Algorithm Considering Aging to Estimate the SOC of Lithium-ion Battery

open access: yesJournal of Harbin University of Science and Technology, 2022
The State of Charge (SOC) of lithium battery is one of the basic parameters of battery management system (BMS). The accurate estimation of SOC is the basis of BMS reliability and accuracy. In order to improve the estimation accuracy of SOC, an estimation
YU Zhi-long, LI Long-jun, WEI Kang
doaj   +1 more source

Consistency of the EKF-SLAM Algorithm [PDF]

open access: yes2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
This paper presents an analysis of the extended Kalman filter formulation of simultaneous localisation and mapping (EKF-SLAM). We show that the algorithm produces very optimistic estimates once the "true" uncertainty in vehicle heading exceeds a limit.
Tim Bailey   +4 more
openaire   +2 more sources

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